期刊文献+

物流配送中心选址的随机数学模型 被引量:48

A Randomized Mathematic Model of Logistic System and Allocation of Its Distribution Center
下载PDF
导出
摘要 本文对照传统的物流配送中心选址问题提出了一个随机化的模型 ,并从数学角度对该模型进行了的一些分析 。 In some classical models of logistic system the demand of each city is assumed to be constant In this paper we propose a randomized model of logistic system,in which the demand of each city is regarded as a random variable A quantitative approach to determine the distribution center is derived In doing this,some details of mathematics are involved
出处 《中国管理科学》 CSSCI 2002年第5期57-61,共5页 Chinese Journal of Management Science
关键词 选址 随机变量 分布函数 物流配送 logistics system distribution center allocation random variable stop-loss function comonotonicity
  • 相关文献

参考文献12

  • 1Bachtel,C.and Jayanth,J.Supply chain management:A strategic perspective[J].The International Journal of Logistics Management,1997,8(1).
  • 2Bowersox,D.J.and Closs,D.J.Logistical Management:The Integrated Supply Chain Process[M].McGraw-Hill,Inc., 1998.
  • 3Denuit,M.,De Vylder,F.and Lefevre,C.Extrema with respect to s-convex orderings in moment spaces:a general solution[J].Insursance:Mathematics & Economics, 1999, 24:201-217.
  • 4Donna,L.Doane Cooperation,Technology and Japanese Development[M]. Westview Press, 1995.
  • 5Goovaerts,M.J.,Kaas,R.,Van Heerwaarden,A.E.and Bauwelinckx T.Effective actuarial methods[M],Xorth-Holland,Amsterdam,1990.
  • 6胡双增 张明著.物流系统工程[M].清华大学出版社,2000,4..
  • 7K,R,Dhaene,J.and Goovaerts,M.J.Upper and lower bounds for sums of random variables[J]. Insurance Mathematics & Economics, 2000, 27:151-168.
  • 8Kaas,R.,Goovaerts,M.J.,Dhaene,J.and Denuit,M. Modern Actuarial Risk Theory[M]. Dordrecht:Kluwer Acad.Publ,2001.
  • 9Kaas,R.,Van Heerwaarden,A.E.and Goovaerts,M.J.Ordering of actuarial risks[M]. Caire Edu-cation Series,Amsterdam, 1994.
  • 10Muller,A.Stop-Loss order for portfolios of dependent risks[J]. Insursance:Mathematics & Economics,1997, 21:219-223.

共引文献2

同被引文献373

引证文献48

二级引证文献294

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部